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磁盘驱动系统的有前置滤波器时系统的时间响应和整个系统的不同环节的比较(Disk drive system with pre-filter system response time and the comparison of different segments of the system)

说明：  MATLAB实现的NARX模型辨识程序，适用于初学模型辨识的学者理解NARX模型辨识方法(The NARX model identification program implemented by MATLAB is suitable for the scholars who are learning model identification to understand the NARX model identification method.)

实现三类的SVM分类，实现三类模式识别，对图像识别作用比较大，基于MATLAB7实现(Realizing the SVM classification, three kinds of pattern recognition, and image recognition based on bigger role, MATLAB7 realization)

滑动轴承的雷诺方程求解与偏心率和承载能力的关系(solve the pressure of bearing)

Channel des with Q function and CDf function and more

这是一个移动通信多径信道的功率谱响应（包括相位，延时响应等）的matlab程序。(This is a mobile communications multipath channel response to the power spectrum (including phase, Delayed response, etc.) Matlab procedures.)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

这是一个PCM的编码调制方案的仿真程序。其中包含了对信号的量化。(This is a PCM coding modulation scheme of the simulation program. Which contains the signals quantified.)

说明：  在盲信号处理过程中，通过该算法实现信号分离(Blind source seperation)

基于matlab人脸检测的方法很多，pca是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的位置，数目，大小(Matlab-based Face Detection many ways, pca which is the more effective one. The code is the use of the method pca Face Detection can be detected Face the location, number, size)